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» Learning from Highly Structured Data by Decomposition
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DAGSTUHL
2010
15 years 5 months ago
Towards Automatic Feature-based Visualization
Visualizations are well suited to communicate large amounts of complex data. With increasing resolution in the spatial and temporal domain simple imaging techniques meet their lim...
Heike Jänicke, Gerik Scheuermann
IFIP
1998
Springer
15 years 8 months ago
Mobile agent technology in support of sales order processing in the virtual enterprise
The flexible integration of a range of disparate IT applications is a key requirement for today's global enterprises. The virtual enterprise, formed by a collection of collab...
Todd Papaioannou, John Edwards
OOPSLA
2010
Springer
15 years 2 months ago
Language virtualization for heterogeneous parallel computing
As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, ...
Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Ro...
153
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ICCS
2007
Springer
15 years 10 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
IJCNN
2006
IEEE
15 years 10 months ago
Dynamic Hyperparameter Scaling Method for LVQ Algorithms
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
Sambu Seo, Klaus Obermayer